The graph represents a network of 6,246 Twitter users whose tweets in the requested range contained "diabetes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 01 June 2020 at 06:04 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 14-hour, 41-minute period from Friday, 29 May 2020 at 20:51 UTC to Sunday, 31 May 2020 at 11:33 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6246
Unique Edges : 2698
Edges With Duplicates : 6954
Total Edges : 9652
Number of Edge Types : 5
Retweet : 3348
MentionsInRetweet : 3611
Replies to : 697
Mentions : 749
Tweet : 1247
Self-Loops : 1274
Reciprocated Vertex Pair Ratio : 0.00745817375529127
Reciprocated Edge Ratio : 0.0148059223689476
Connected Components : 1606
Single-Vertex Connected Components : 726
Maximum Vertices in a Connected Component : 1716
Maximum Edges in a Connected Component : 3426
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.668517
Graph Density : 0.000128133246270407
Modularity : 0.54159
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,246 Twitter users whose tweets in the requested range contained "diabetes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 01 June 2020 at 06:04 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 14-hour, 41-minute period from Friday, 29 May 2020 at 20:51 UTC to Sunday, 31 May 2020 at 11:33 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : diabetes
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[1480] covid,19 [1480] diabetes,drug [1480] type,diabetes [1480] die,within [1480] patients,diabetes [1480] polydipsia,excessive [1480] fda,finds [1480] diabetes,die [1480] within,week [1480] study,finds Top Word Pairs in Tweet in G3:
[45] perut,buncit [39] buncit,atau [38] nhms,2019 [23] orang,dewasa [22] 52,orang [22] dewasa,malaysia [21] malaysia,mengalami [21] mengalami,masalah [20] masalah,perut [19] atau,abdominal Top Word Pairs in Tweet in G4:
[884] creo,antes [884] antes,covid [454] covid,dará [443] dará,diabetes [442] diabetes,hipertensión [442] hipertensión,trago [442] pacodemiguelf,creo Top Word Pairs in Tweet in G5:
[182] 30,years [182] years,ago [182] ago,today [182] today,diagnosed [182] diagnosed,t1 [182] t1,diabetes [181] diabetes,near [] near,death [] death,dka [] dka,missed Top Word Pairs in Tweet in G6:
[55] shielding,severe [55] severe,asthma [55] asthma,diabetes [55] diabetes,brother [55] brother,died [55] died,asthma [55] asthma,attack [55] attack,scared [55] 16,nhs [55] nhs,effort Top Word Pairs in Tweet in G7:
[44] diabetes,cáncer [44] lopezobrador_,votaste [44] votaste,2018 [44] 2018,#amlo [44] #amlo,hoy [44] hoy,familiar [44] familiar,tuyo [21] tuyo,diabetes [15] cáncer,murió [15] lopezobrador_,hlgatell Top Word Pairs in Tweet in G8:
Top Word Pairs in Tweet in G9:
[] one,10 [] 10,coronavirus [] coronavirus,patients [] patients,diabetes [] diabetes,died [] died,within [] within,first [] first,seven [] seven,days [] days,hospitalization Top Word Pairs in Tweet in G10:
[40] diet,related [40] related,conditions [40] conditions,diabetes [40] diabetes,heart [40] heart,disease [40] disease,leave [40] leave,people [40] people,more [40] more,vulnerable [40] vulnerable,covid Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: